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Enterprise AI agents can't talk to each other, can't be trusted with permissions, and can't be audited — 5 startups are already fixing that
Enterprise AI agents can do the work — but the infrastructure to let them talk to each other, prove they should be trusted , and be audited when something goes wrong is still being built.
AI Summary
The current state of enterprise AI agents is hindered by their inability to communicate with one another, lack of trustworthiness when it comes to permissions, and inability to be audited. This limitation is being addressed by five startups that are working to bridge the gap in infrastructure. They are focusing on key areas such as orchestration, observability, connectivity, and security to enable seamless interaction among AI agents. The efforts of these startups aim to provide a more cohesive and trustworthy AI ecosystem, which could have significant implications for the adoption and utilization of AI in enterprise settings.
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